Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B424333A600DD2A8D9795CCF2C49589805AD349FB3248C6B2B091BF7BC5CF16DA53AD |
|
CONTENT
ssdeep
|
192:f73JidFgYypJU2PRxCEqvMcnthWeNWbNu/cDnVfMmUU8VCoh5:UFgYypJUJ7Ou/cDnVfMmUFCoh5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db4bb45a4aa4b25a |
|
VISUAL
aHash
|
f8f8f8f8f8fcffff |
|
VISUAL
dHash
|
a96a61e181491600 |
|
VISUAL
wHash
|
f838387878f800ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
a96a61e181491600,8a82f23a3bea849a,fef879bee969feff |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 4 techniques to evade detection by security scanners and make reverse engineering more difficult.